Summary
This website contacted 132 IPs in 4 countries across 33 domains to perform 183 HTTP transactions. The main domain is flicks.co.nz.
Submitted URL: https://www.flicks.co.nz/tv/south-park-season-27/
AI Security Verdict
High Risk
Confidence: 82%
High‑risk site with hidden password fields and login forms; likely phishing.
Risk Factors
Details
Page Title
South Park: Season 27 | Where to watch streaming and online in New Zealand | Flicks
Scan Type
public
Language
English
Category
entertainment media
(52%)Domain Information
The domain name 'www.flicks.co.nz' uses the New Zealand country-code top-level domain (.co.nz) and includes subdomain 'www'. The registrable portion 'flicks' spans 6 characters with 1 vowel and five consonants. Tokenizing the label suggests one word: flicks. 'flicks' is most common in English usage. You may catch it in Chinese (Pinyin) and French as well.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 52 | 23.207.210.77 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 185.59.220.199 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 216.58.206.33 | United States | AS15169GOOGLE |
| 1 | 185.111.111.155 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 1 | 3.167.226.11 | United States | AS16509AMAZON-02 |
| 1 | 142.251.168.154 | United States | AS15169GOOGLE |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 23.36.162.25 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.186.67 | United States | AS15169GOOGLE |
| 183 | 132 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Scan History
Scan history not available
Unable to load historical scan data